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Data Analyst

micro1

RemoteRemoteUSD 64k–125kentryContractor
Posted
1 month ago
Source
Himalayas
Field
Data & Analytics

Skills

CommunicationSecurityNext.jsAI

Description

Role Title: Data Analyst Role Type: Contractor Location: Remote micro1 is engaging Data Analysts to contribute to a high-impact customer project focused on business data. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. This opportunity is ideal for experienced professionals who can expertly review, analyze, and ensure the privacy of large-scale data sets, with a particular emphasis on business data and quality assurance. Scope of Work - Review and analyze extensive business data sets for accuracy, completeness, and relevance. - Conduct thorough document review with strict adherence to data privacy and PII protocols. - Identify, flag, and resolve data quality issues, inconsistencies, and anomalies. - Deliver detailed feedback and recommendations on data findings to inform AI training processes. - Contribute to the development and refinement of quality assurance standards for data review assignments. - Collaborate with project stakeholders through clear, professional written and verbal communication. - Ensure compliance with all established data privacy and security guidelines throughout project deliverables. Preferred Qualifications - Demonstrated expertise in handling and analyzing large business data sets. - Proven experience managing data containing personally identifiable information (PII) and sensitive material. - Strong understanding of data privacy regulations and best practices. - Background in document review, data quality assurance, or audit projects. - Exceptional written and verbal communication skills; ability to convey complex findings clearly and concisely. - High attention to detail and commitment to data accuracy and integrity. - Experience working remotely and delivering consistent, reliable output in a distributed project environment. Originally posted on Himalayas

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